Construct · 1 fields · 1 citations
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In machine learning, balanced accuracy refers to the average of the accuracy on each class, which avoids the inflated scores plain accuracy gives on imbalanced data. This meaning comes from Brodersen (2010) in 2010 20th International Conference on Pattern Recognition.[1]
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